Want to Create More Impactful Data Science Projects for Your Portfolio?
Build hot data science, not cold
Published in
6 min readFeb 10, 2022
In data science as in life, being hot is typically preferred to being cold. After all, cold is associated with old things, death, and is literally defined by a lack of [molecular] motion. Hot on the other hand conjures images of fire, sweat, and motivation.